3 Siem Reap background Provincial Profile Provincial Economy Land area: 12,000 sq. kmConsists of: 12 districts, 100 communes, 875 villagesTotal population: 900,000 (more than 80% living in rural)Total households: 136,185 (avg. HH size 6 persons)Provincial EconomyInt’l tourists from : millionProvincial GDP (2004): USD 285 million (5.4% of the national GDP)Tourism industry as the main source of GDP growthBut, Siem Reap remains 1 of the 3 poorest provinces
4 Common causes of poverty Lack of assets, low investment and productivityMajority of ID Poor 1 & 2 owns less than 0.5 ha of landMajority of these land has a low productivityLack of access to financeA study indicates only 58% of HHs (n=80) is able to borrowAbout 67% of them use informal source of money lender, with high IR (4-10% per month)Lack of access to marketInability to compete with Thai and Vietnamese Products due to inconsistent quality, low volume, time to market...Lack of market information makes the production and delivery of the right products difficult
5 Project descriptionProject Development Objective is to improve livelihoods of the rural poor in select communes in Siem ReapComponent 1: creating and strengthening self-managed institutions of the poorComponent 2: providing access to finance to the poorComponent 3: linking the poor to key markets and value chainsComponent 4: project management, coordination, monitoring and evaluation
7 Project phasingPilot phase: 12 communes (half of villages are treated)1st phase: 8 communes (PLUS half of the rest villages from the pilot phase)2nd phase: 30 communes128
8 Research questionsAre incomes and livelihood of the poor in the target areas improved?
9 IndicatorsIndicator 1. At least 50% of HH take up new livelihood technologiesIndicator 2. At least 50% of poor HHs are investing in productive assets generating sustained income with project fundsIndicator 3. At least 50% of HH receiving project funds increase their income by at least 30% of the baseline
10 Key HH survey questions IncomePercentage of poor/non-poor/women in SHGsSources of income (micro-investment, chicken raising, other activities for which training is provided by the program...)Credit, sources of credit (Banks/MFIs), how much?AssetsTrust (in SHG, neighboring HHs,...)Social capital (reducing violence, increase cooperation, more care to one another, ...)Employment (job training, ability to get job, ...)Benefit from Village Association (VA) or Commune Level Federation (CLF)
11 Key SHG survey questions SHG performance (frequency of meetings, attendance, saving, application for credit, ...)Characteristics of SHG members (men/women, poor/non-poor, occupations, ...)Satisfaction of being SHG member...
12 Identification strategy Sam. 9Sam. 7Sam. 3Sam. 10Sam. 4Sam. 1Sam. 5Sam. 11Sam. 8Sam. 2Sam. 6Sam. 1212 out of 50 target communes randomly selected as sampleIn each commune, half of villages randomly chosen as treatment & the rest half as control groups (about 100 villages totally)
13 Identification strategy In each village, about 10 poor and 10 non-poor HHs randomly selected for surveyTreatment villages- Control villages
14 SampleThe total sample HHs are about 2,000 HHs (1,000 poor and 1,000 non-poor)In each village, 2 SHGs randomly selected for baseline survey, and 2 additional SHGs for the follow up survey
15 Timeline 1 Oct: start the baseline survey and evaluation now - 15 Jul: design of questionnaires, question coding, format of data input, sample selection15 Jul - 15 Sep: recruitment of M&E and MIS specialists15 Sep – 30 Sep: training of enumerators and key relevant staffs, plus testing the baseline survey (questionnaires testing)1 Oct: start the baseline survey and evaluation1 Oct 2011: follow up survey
16 Impact evaluation team Gov’t team:Hay Younell, Top Neth, Mean Sambath, Nuon Sokhom, Lim PisethConsulting teams:M&E and MIS Specialists (to be recruited)DIME:Radu Ban, Matthias Rieger
17 Estimated budget Budget for baseline survey (about 2,000 HHs): Total : Surveyors: 4 teams of 5 people = 20 people, working 30 USD25/day = USD 15,000 (LEAP)Piloting and training 40 people, working 10 USD25/day = 10,0004 cars * 30 USD100/day (including gas) = USD 12,000 (LEAP)Data treatment: 5 people, working 30 USD 35/day = USD 5,250 (LEAP)Field coordinator: 60 USD 200/day = USD 12,000 (DIME)Economist(s): 30 USD 250/day = USD 7,500 (DIME)Overheads and unexpected costs USD 10,000 (LEAP)Total :USD 52,250 (LEAP)USD 19,500 (DIME)USD 71,750